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Mendeley readers
Chapter title |
Deep Learning-Based Document Modeling for Personality Detection from Turkish Texts
|
---|---|
Chapter number | 53 |
Book title |
Proceedings of the Future Technologies Conference (FTC) 2019
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-32520-6_53 |
Book ISBNs |
978-3-03-032519-0, 978-3-03-032520-6
|
Authors |
Tuncay Yılmaz, Abdullah Ergil, Bahar İlgen |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 100 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 18 | 18% |
Student > Ph. D. Student | 17 | 17% |
Student > Bachelor | 9 | 9% |
Researcher | 4 | 4% |
Other | 4 | 4% |
Other | 16 | 16% |
Unknown | 32 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 38 | 38% |
Engineering | 6 | 6% |
Business, Management and Accounting | 5 | 5% |
Psychology | 4 | 4% |
Physics and Astronomy | 3 | 3% |
Other | 11 | 11% |
Unknown | 33 | 33% |